Results 21 to 30 of about 662,591 (288)
Self-Supervised Scene Flow Estimation With 4-D Automotive Radar [PDF]
IEEE Robotics and Automation Letters, 2022 Scene flow allows autonomous vehicles to reason about the arbitrary motion of multiple independent objects which is the key to long-term mobile autonomy.
Fangqiang Ding +4 more
semanticscholar +1 more source
Signal Processing for TDM MIMO FMCW Millimeter-Wave Radar Sensors
IEEE Access, 2021 In this tutorial paper, we systematically present the fundamental operating principles and analytical details of the discrete Fourier transform based signal processing techniques for the TDM MIMO FMCW millimeter-wave (mmWave) automotive radars.
Xinrong Li +3 more
doaj +1 more source
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar [PDF]
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022 This paper presents novel hybrid architectures that combine grid- and point-based processing to improve the detection performance and orientation estimation of radar-based object detection networks.
Michael Ulrich +6 more
semanticscholar +1 more source
IEEE transactions on microwave theory and techniques, 2023 Although traffic safety continues to improve overall, fatalities of vulnerable traffic participants and pedal cyclists specifically have reached 30-year highs.
T. Braun +5 more
semanticscholar +1 more source
Automotive radar interference study for different radar waveform types
IET Radar, Sonar & Navigation, 2022 Mutual interference between different radar waveforms used in automotive radar applications is studied. The existing interference analysis is extended to a generalised radar‐to‐radar interference equation that covers most of the common interference ...
Utku Kumbul +3 more
doaj +1 more source
Deep Instance Segmentation With Automotive Radar Detection Points [PDF]
IEEE Transactions on Intelligent Vehicles, 2021 Automotive radar provides reliable environmental perception in all-weather conditions with affordable cost, but it hardly supplies semantic and geometry information due to the sparsity of radar detection points.
Jianan Liu +6 more
semanticscholar +1 more source
Multi-Doppler resolution automotive radar [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Bialer, Oded, Kolpinizki, Sammy
openaire +1 more source
Continuous-time Radar-inertial Odometry for Automotive Radars [PDF]
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 We present an approach for radar-inertial odometry which uses a continuous-time framework to fuse measurements from multiple automotive radars and an inertial measurement unit (IMU). Adverse weather conditions do not have a significant impact on the operating performance of radar sensors unlike that of camera and LiDAR sensors.
Ng, Yin Zhi +3 more
openaire +2 more sources
DeepEgo: Deep Instantaneous Ego-Motion Estimation Using Automotive Radar
IEEE Transactions on Radar Systems, 2023 The problem of instantaneous ego-motion estimation with mm-wave automotive radar is studied. DeepEgo, a deep learning-based method, is proposed for achieving robust and accurate ego-motion estimation.
Simin Zhu, A. Yarovoy, F. Fioranelli
semanticscholar +1 more source
Weighted SPICE Algorithms for Range-Doppler Imaging Using One-Bit Automotive Radar [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 We consider the problem of range-Doppler imaging using one-bit automotive LFMCW1 or PMCW radar that utilizes one-bit ADC sampling with time-varying thresholds at the receiver.
Xiaolei Shang, Jian Li, P. Stoica
semanticscholar +1 more source